A mechanism for estimating economic losses from reducing measurement

The mechanism for assessing economic losses from measurement errors is considered and presented. In the study, the evaluation mechanism is understood as a set of methods and tools that determine the procedure for estimating losses from measurement error. The main components of the mechanism are shown – indicators of false positive (error of the second kind) and false negative (error of the first kind) decisions. The term “losses from measurement errors” is used in the current regulatory and methodological document for determining the economic efficiency of metrological activities (MI 2546-99 “GSOEI. Methods for determining the economic efficiency of metrological work”). However, MI 2546-99 does not contain a description of the mechanisms for their assessment, which is a problem for an objective quantitative characteristic of the impact of metrology on the economy. Domestic and foreign regulatory documents and publications are used as sources of scientific data and methods for solving the problem. The results of applying the computer program developed during the research are presented, which are presented in the form of an extended table of limiting values of the parameters of the probability of errors of the first and second kind, as well as in the form of a diagram of their determination in the presence of data on the root-mean-square technological distribution of the measured parameter.A mathematical model for assessing economic losses from measurement errors is formulated and presented in general form, built taking into account the provisions of mathematical statistics and probability theory. The application of indicators of loss reduction from reduction of measurement error in assessing the effectiveness of investment metrological projects is proposed. The results of the study are relevant for developing a methodology for assessing the effectiveness of investment projects that take into account the specifics of metrological activities.

metrology, measurement error, economic losses, probability theory, error of the first kind, error of the second kind